I developed the "Multilingual AI Meeting Minutes and Summarization Generator" using Flutter, which offers a meetings transcript accurately and serves a big userbase. I integrated APIs into the application to automate the creation of meeting minutes, enhancing the process with advanced speaker identification and improved transcription accuracy. This project efficiently streamlines meeting documentation, providing users with accurate, real-time summaries in multiple languages.
I developed a mobile application designed to support deaf and mute individuals, enabling real-time call transcription with seamless communication during live conversations. Built using Python, FastAPI, Asterisk, FreePBX, and Flutter, the app focuses on Indian languages by training a custom model to accurately support multiple regional languages. Integrated with VoIP systems, the app delivers live call transcription with high accuracy, enhancing communication efficiency. It empowers differently-abled individuals by offering real-time voice-to-text and text-to-voice functionalities, creating an accessible and inclusive solution for effective communication.
I developed Steer Bot, an IoT-based steering control system that allows users to remotely operate an RC car as if driving a real vehicle. Built using an ESP8266 microcontroller with Wi-Fi connectivity, it enables cloud-based control from any location. The system offers smooth steering, precise throttle control, and real-time responsiveness, providing an interactive experience for robotics and IoT enthusiasts. This project bridges the gap between hardware and remote accessibility, making it both functional and innovative.